CPC G06T 7/0012 (2013.01) [G06F 18/213 (2023.01); G06F 18/241 (2023.01); G06N 3/08 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01)] | 20 Claims |
1. A method for medical image interpretation, adapted for a computer device, the method comprising:
providing a medical image to a convolutional neural network model, wherein the convolutional neural network model comprises a feature extraction part, a first classifier, and N second classifiers, wherein N is a positive integer;
generating N feature maps by using the feature extraction part of the convolutional neural network model;
obtaining N symptom interpretation results of N symptoms of a disease based on the N feature maps through the N second classifiers; and
obtaining a disease interpretation result of the disease based on the N feature maps through the first classifier,
wherein one of the N second classifiers outputs one of the N symptom interpretation results only according to part of the N feature maps, and another one of the N second classifiers outputs another of the N symptom interpretation results only according to another part of the N feature maps.
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